Air Traffic Controller Performance Linked to Situation Awareness

Federico D’Urso authored a study on situation awareness as a predictor of performance for en route air traffic controllers. The dataset likely contains metrics linking controller assessments or operational data to performance outcomes. Its specific size, format, and temporal coverage are not detailed in the available metadata.

Use Cases

• Train a model to predict controller performance scores from situational awareness metrics (inferred from domain, verify after download)
• Analyze correlations between human-factor variables and operational efficiency in air traffic control (inferred from domain, verify after download)
• Benchmark machine learning methods for human performance prediction in safety-critical domains (inferred from domain, verify after download)

Strengths

• Published on paperswithcode, a platform for research datasets with code.
• Author and core research topic are explicitly identified.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and file formats are unknown.
• License is listed as 'closed', which may restrict usage.

Provenance

Source

Federico D’Urso

Collection Method

Likely collected or generated for academic research on air traffic control.

Time Range

null

Freshness

Last updated date is unknown.

Geography

null